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  <title>Description of wd</title>
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<h1>wvd
&nbsp;&nbsp;<img src="../mex.png" alt="Linux PC" border="0" title="Linux PC"></h1>

<h2><a name="_name"></a>PURPOSE <a href="#_top"><img alt="^" border="0" src="../up.png"></a></h2>
<div class="box"><strong>Wigner-Ville distribution</strong></div>

<h2><a name="_description"></a>DESCRIPTION <a href="#_top"><img alt="^" border="0" src="../up.png"></a></h2>
<div class="fragment"><pre class="comment"> Wigner-Ville distribution

 Computes the Wigner Distribution of the input signal.If the input signal is an anlytic signal, 
 the produced result will be similar to the Wigner-Ville Distribution.

 Usage:

     tfd = wd(signal,[, fft_length],[,time_res] )

 Parameters:

    signal

      One dimensional signal to be analysed.
 
    time_res

      The number of time samples to skip between successive slices.
      Default vaule is 1.

    fft_length

      Zero-padding at the FFT stage of the analysis may be specified by
      giving an fft_length larger than lag_window_length. If fft_length
      is not specified, or is smaller than the lag_window_length, then the
      next highest power of two above lag_window_length is    used. If
      fft_length is not a power of two, the next highest power of two is
      used.

     tfd

      The computed time-frequency distribution. size(tfd) will
      return [a, b], where a is the next largest power of two above
      fft_length, and b is floor(length(signal)/time_res) - 1.



  See Also: <a href="analyt.html" class="code" title="">analyt</a>, <a href="quadtfd.html" class="code" title="">quadtfd</a></pre></div>

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